On invariance and selectivity in representation learning

We study the problem of learning from data representations that are invariant to transformations, and at the same time selective, in the sense that two points have the same representation if one is the transformation of the other. The mathematical results here sharpen some of the key claims of i-the...

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Bibliographic Details
Main Authors: Anselmi, Fabio, Rosasco, Lorenzo, Poggio, Tomaso A
Other Authors: Center for Brains, Minds, and Machines
Format: Article
Published: Oxford University Press (OUP) 2017
Online Access:http://hdl.handle.net/1721.1/112284
https://orcid.org/0000-0002-0264-4761
https://orcid.org/0000-0001-6376-4786
https://orcid.org/0000-0002-3944-0455